Neural network based dynamic prediction of software reliability in PLC control system
Jiahai Zhang · Ha'erbin gongye daxue xuebao · 2006
Accurately predicting the number of faults in program modules is a major problem in quality control of a large scale PLC control software system.Based on software test record,the application of the neural network as a tool for dynamicly predicting the number of faults in program is explored.It indicates that the neural network can produce models with better fitting quality and predictive quality in comparison with traditional G-O model.